Insufficient Logging and Error Handling in "main_distributed.py"

[Madhav-MKNC]

The code lacks proper logging and error handling, which can make it difficult to troubleshoot issues and identify failures during execution. It is important to improve the logging mechanism and implement robust error handling to enhance the reliability and maintainability of the code. Here are the details of the issues:

Incomplete Logging: The code only initializes a basic logging configuration without specifying the log output file or formatting. This can make it challenging to track and analyze the application's behavior and diagnose any potential errors or anomalies.

Lack of Error Handling: The code does not include comprehensive error-handling mechanisms, which can lead to unhandled exceptions and unexpected termination of the program. Proper error handling should be implemented to catch and handle exceptions gracefully, providing useful error messages and appropriate actions to be taken.

Missing Input Validation: The code does not perform sufficient validation and sanitization of the input arguments obtained from the command line. This leaves the application vulnerable to unexpected or malicious input, potentially leading to security vulnerabilities or incorrect behavior.

Deprecated YAML Loader: The code uses the yaml.load function with the yaml.FullLoader, which is deprecated since PyYAML version 5.1. It is recommended to switch to the yaml.safe_load function for safer loading of YAML files.

[MidoAssran]

Hi @Madhav-MKNC, thanks for your input! These sound like very reasonable changes. Do you want to submit a PR?

[Madhav-MKNC]

hey @MidoAssran, I have already submitted a PR for the same.